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Afternoon Data Analyst R Programming Jobs in Utah

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy ... Partner with Product, Engineering, and Payment Operations teams to resolve discrepancies and ...

Data Engineer

Salt Lake City, UT · On-site

$99.60K - $156.50K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ...

... and analytics across their product line. Responsibilities : • Designs, develops and programs ... Engineering, Product Management, and Operational teams in designing, experimenting-with, and ...

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... Data Engineer, or Senior Data Analyst role. * Strong SQL skills -- writes clean, optimized queries with a solid understanding of how data warehouses execute them. * Python proficiency for data ...

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Draper, UT

$107K - $128.50K/yr

This includes data infrastructure and pipelines to support analytics and product, as well as data science team. The Data Engineer will take ownership of a variety of areas in the data stack and lead ...

New

Data Scientist

Lehi, UT

$120K - $145K/yr

Partner with engineering teams to acquire, clean, and structure data, and embed analytics-driven ... Proficiency in predictive modeling using Python and/or R * Experience working with relational ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Afternoon Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Utah? The most popular types of Data Analyst R Programming jobs in Utah are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Utah look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Utah are:
What cities in Utah are hiring for Afternoon Data Analyst R Programming jobs? Cities in Utah with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Utah as of May 2026, with employment types broken down into 78% Full Time, 14% Part Time, 5% Contract, and 3% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Data Operations Specialist

Data Operations Specialist

Patientco

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

ABOUT THIS POSITION

The Data Operations Analyst is responsible for ensuring the accuracy, completeness, and integrity of payment funding and settlement across Waystar's Payment Facilitator ecosystem. This role focuses on reconciling financial transactions between the company (PayFac), its customers, third-party payment partners, and bank deposits.
They also investigate the various data integrity issues that may exist for a payment transaction that did not successfully settle. Waystar is looking for a Data Operations Analyst to join our Payment Operations team, who will serve as a critical control point for identifying, investigating, and resolving discrepancies in payment activity at both the batch and transaction level.
The ideal candidate brings strong analytical skills, a deep understanding of data
relationships, and the ability to translate complex payment flows into actionable
insights. A strong technical aptitude and background in data is required for this role, including familiarity with best practices for data hygiene. We are looking for someone who has independent judgement making skills and the ability to work on a wide variety of tasks under limited supervision. If you have 1-2 years of experience in data analytics or accounting, as well as a familiarity with
standard concepts, practices, and procedures within the data sector, then this is a perfect role for you!

WHAT YOU'LL DO

Account Reconciliation & Financial Accuracy

  • Perform daily reconciliation of transaction-level activity to settlement reports, funding files, and bank deposits
  • Validate the completeness and accuracy of funds flow between:
  • o Customers o Payment processors / vendors o Internal systems o Bank accounts
  • Investigate and resolve discrepancies across payment lifecycle stages (authorization, capture, settlement, funding)
  • Reconcile variances at both summary and detailed transaction levels, ensuring alignment across systems
  • Support month-end close by ensuring all payment-related activity is accurately reconciled and variances are resolved or appropriately documented
  • Ensure completeness and accuracy of financial data in alignment with internal reporting requirements Data Analysis & Reporting
  • Leverage advanced Excel capabilities (pivot tables, lookups, nested formulas, etc.) to analyze large datasets and reconcile financial data
  • Ensure alignment between subledger activity and summarized financial reporting
  • Translate transaction-level data into meaningful insights that support financial accuracy and operational decision-making
  • Develop and enhance reporting to improve visibility into reconciliation performance and trends
  • Assist in providing data and documentation to support audits and internal control reviews Issue Identification & Root Cause Analysis
  • Proactively identify anomalies or breaks in reconciliation processes
  • Analyze discrepancies to determine root cause across systems, vendors, or process failures
  • Own issues from identification through resolution, including validation of fixes
  • Escalate systemic issues where appropriate and partner with internal teams to implement long-term solutions Cross-Functional Partnership
  • Work closely with Accounting to ensure accurate financial reporting and alignment on reconciled balances
  • Partner with Product, Engineering, and Payment Operations teams to resolve discrepancies and improve system accuracy
  • Communicate findings clearly to both technical and non-technical stakeholders

WHAT YOU'LL NEED

  • Advanced proficiency in Microsoft Excel (pivot tables, XLOOKUP/VLOOKUP, SUMIFS, data manipulation)
  • Demonstrated ability to work with large datasets and reconcile detailed transactional data to summary financials
  • Strong analytical and problem-solving skills with high attention to detail
  • Ability to independently investigate issues and drive resolution
  • Effective communication skills with the ability to collaborate cross-functionally
  • Experience in payments, fintech, or high-volume transaction environments
  • Bachelor's degree or equivalent experience strongly desired
  • 2-3 2-5+ years of experience in accounting, reconciliation, audit, or financial operations
  • Effective verbal and written communication skills, must be able to confidently communicate with peers, leaders and clients
  • Flexible workstyle - able to work collaboratively in a team environment

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.